{"id":29128190,"url":"https://github.com/willie-conway/meta-data-analyst-portfolio","last_synced_at":"2026-04-11T08:03:01.934Z","repository":{"id":300666883,"uuid":"878296387","full_name":"Willie-Conway/Meta-Data-Analyst-Portfolio","owner":"Willie-Conway","description":"A comprehensive 📚portfolio showcasing projects and skills developed during the Meta Data Analyst Professional Certificate 🎓course, featuring 📈data analysis, 📊visualization, and 👨🏿‍💻management using various 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Meta Data Analyst Professional Certificate Portfolio\n\n![Meta Data Analyst](https://images.credly.com/size/680x680/images/4dd82f2c-e7eb-4b64-bb24-f4351f596220/image.png)\n\n![Meta Data Analyst](https://img.shields.io/badge/Meta-Data_Analyst-0066E3?style=for-the-badge\u0026logo=meta\u0026logoColor=white)\n![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge\u0026logo=python\u0026logoColor=white)\n![SQL](https://img.shields.io/badge/SQL-4479A1?style=for-the-badge\u0026logo=postgresql\u0026logoColor=white)\n![Tableau](https://img.shields.io/badge/Tableau-E97627?style=for-the-badge\u0026logo=tableau\u0026logoColor=white)\n![Statistics](https://img.shields.io/badge/Statistics-FF6B6B?style=for-the-badge\u0026logo=gnu\u0026logoColor=white)\n\n## 🎯 Overview\n\nThis repository showcases my journey through the **Meta Data Analyst Professional Certificate** program. It contains comprehensive projects, assignments, and labs across 8 courses, demonstrating proficiency in data analysis, statistical modeling, data visualization, and business intelligence using Meta's industry-relevant curriculum.\n\n\u003cp float=\"left\"\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst/blob/main/Statistics%20Foundations/Capstones/Modules/1%20-%20Getting%20to%20Know%20the%20Data/Screenshots/Screenshot%202024-10-11%20031407.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst/blob/main/Statistics%20Foundations/Capstones/Modules/2%20-%20Understanding%20Your%20Data%20Samples/Screenshots/Screenshot%202024-10-16%20141833.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst/blob/main/Statistics%20Foundations/Capstones/Modules/3%20-%20Testing%20Your%20Hypothesis/Screenshots/Screenshot%202024-10-20%20205341.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst/blob/main/Statistics%20Foundations/Capstones/Modules/4%20-%20Data%20Modeling/Screenshots/Screenshot%202024-10-24%20113126.png\" width=\"300\" /\u003e\n\u003c/p\u003e\n\n\u003cp float=\"left\"\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst/blob/main/Statistics%20Foundations/Tableau/Screenshots/Screenshot%202024-10-21%20201216.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst/blob/main/Statistics%20Foundations/Capstones/Modules/4%20-%20Data%20Modeling/Screenshots/Screenshot%202024-10-24%20235410.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst/blob/main/Statistics%20Foundations/Capstones/Modules/4%20-%20Data%20Modeling/Screenshots/Screenshot%202024-10-24%20130601.png\" width=\"300\" /\u003e\n\u003c/p\u003e\n\n\u003cp float=\"left\"\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/3cff9219e2346e0eed2e7d5f791f774ea1c8ec7c/Statistics%20Foundations/Screenshots/Screenshot%202024-10-11%20231155.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/3cff9219e2346e0eed2e7d5f791f774ea1c8ec7c/Statistics%20Foundations/Screenshots/Screenshot%202024-10-11%20232721.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/3cff9219e2346e0eed2e7d5f791f774ea1c8ec7c/Statistics%20Foundations/Jupyter%20Nootebook/Images/Facebook%20conversion.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/3cff9219e2346e0eed2e7d5f791f774ea1c8ec7c/Statistics%20Foundations/Jupyter%20Nootebook/Images/Q%20-%20plot%20for%20normality.png\" width=\"300\" /\u003e\n\u003c/p\u003e\n\n\u003cp float=\"left\"\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/K-Means%20Clustering%20of%20Clicks.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/K-Means%20Clustering.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/Linear%20Regression%20Home%20Prices.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/Pie%20Chart%20of%20Top%2010%20%20Home%20Prices.png\" width=\"300\" /\u003e\n\u003c/p\u003e\n\n\u003cp float=\"left\"\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/Price%20Distribution%20Histogram.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/Scatter%20Plot%20Linear%20Regression.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/Scatter%20Plot%20of%20Ad%20Clicks.png\" width=\"300\" /\u003e\n    \u003cimg src=\"https://github.com/Willie-Conway/Meta-Data-Analyst-Portfolio/blob/d8ff892965197ccbace666db9d85c213bc3bedf2/Statistics%20Foundations/Jupyter%20Nootebook/Images/Simple%20Linear%20Regression.png\" width=\"300\" /\u003e\n\u003c/p\u003e\n\n## 📚 Course Portfolio Structure\n\n### 1. 📊 **Introduction to Data Analytics**\n- **Skills**: Data Analytics Foundations, OSEMN Framework, Business Intelligence\n- **Tools**: Spreadsheets, Data Analysis Frameworks\n- **Key Projects**:\n  - 🔍 **OSEMN Framework Application**: Complete data analysis workflow\n  - 📈 **Data Analytics vs Data Science**: Comparative analysis\n  - 🤖 **Generative AI Overview**: AI applications in analytics\n- **Notable Files**:\n  - `OSEMN_Framework.py` - Structured data analysis methodology\n  - `Data_Analysis_vs_Data_Science.py` - Career path analysis\n  - `Generative_AI_Response.py` - AI-powered analytics techniques\n\n### 2. 📈 **Data Analysis with Spreadsheets and SQL**\n- **Skills**: Advanced Spreadsheets, SQL Queries, Dashboard Creation\n- **Tools**: Google Sheets, SQL, Tableau\n- **Key Projects**:\n  - 🏪 **Most Profitable Stores Analysis** - Retail performance optimization\n  - 📊 **Advanced Chart Types Implementation** - Professional visualizations\n  - 🔍 **Data Exploration Techniques** - Pattern discovery methods\n- **Tableau Dashboards**:\n  - `Most_Profitable_Stores.twb` - Business performance tracking\n  - `Global_Orders.twb` - International sales analysis\n  - Interactive dashboards with drill-down capabilities\n\n### 3. 🐍 **Python Data Analytics**\n- **Skills**: Python Programming, Data Wrangling, Statistical Analysis\n- **Tools**: Pandas, NumPy, Matplotlib, Jupyter Notebooks\n- **Key Projects**:\n  - 📊 **Full OSEMN Implementation** - End-to-end Python analysis pipeline\n  - 📈 **Explanatory Visualizations** - Professional chart creation\n  - 🤖 **Modeling with Python** - Predictive analytics\n- **Jupyter Notebooks**:\n  - `Full_OSEMN.ipynb` - Complete analysis workflow\n  - `Creating_Explanatory_Visualizations.ipynb` - Advanced plotting\n  - `Modeling_with_Python.ipynb` - Machine learning basics\n  - `Exploration_-_Filtering_Data.ipynb` - Data manipulation techniques\n\n### 4. 📊 **Statistics Foundations**\n- **Skills**: Statistical Analysis, Hypothesis Testing, Data Modeling\n- **Tools**: Python, Excel, Statistical Libraries\n- **Key Projects**:\n  - 🎯 **Getting to Know the Data** - Descriptive statistics and EDA\n  - 📈 **Understanding Data Samples** - Sampling techniques and distributions\n  - 🔬 **Testing Your Hypothesis** - A/B testing and statistical significance\n  - 🏗️ **Data Modeling** - Regression and predictive modeling\n- **Capstone Modules**:\n  - Complete statistical analysis workflow\n  - Real-world dataset applications\n  - Professional reporting and visualization\n\n### 5. 💾 **Data Management**\n- **Skills**: Data Governance, Security, Storage Solutions\n- **Tools**: Database Systems, Data Security Frameworks\n- **Key Topics**:\n  - 🔒 **Data Security Fundamentals** - Protection and compliance\n  - 📦 **Data Storage Formats** - Optimization and selection\n  - 🏗️ **Big Data Management Systems** - Scalable solutions\n  - 📊 **Data Collection Tools** - Best practices and implementation\n- **Comprehensive Guides**:\n  - `Compliance_Best_Practices.py` - Regulatory compliance\n  - `Data_Storage_Formats.py` - File format comparisons\n  - `Machine_Learning_Tools_Roundup.py` - ML infrastructure\n\n### 6. 🎨 **Data Visualization with Tableau**\n- **Skills**: Dashboard Design, Interactive Visualizations, Business Intelligence\n- **Tools**: Tableau, Advanced Charting Techniques\n- **Key Projects**:\n  - 📈 **Time Series Analysis** - Trend identification and forecasting\n  - 👥 **Cluster Analysis** - Customer segmentation techniques\n  - 📊 **Advanced Dashboard Creation** - Professional reporting\n- **Tableau Workbooks**:\n  - `Time_Series.twb` - Temporal data analysis\n  - `Age_and_Income_-_Cluster_Analysis.twb` - Demographic segmentation\n  - Interactive filters and calculated fields\n\n### 7. 📊 **Excel for Data Analysis**\n- **Skills**: Advanced Excel, PivotTables, Business Analytics\n- **Tools**: Microsoft Excel, Statistical Functions\n- **Key Projects**:\n  - 🔬 **A/B Testing Analysis** - Experimental design and evaluation\n  - 📈 **Data Modeling Capstone** - Comprehensive analytics project\n  - 📊 **Business Performance Analysis** - KPI tracking and optimization\n- **Advanced Features**:\n  - Advanced formulas and functions\n  - PivotTables with dynamic ranges\n  - Data validation and conditional formatting\n\n### 8. 📈 **Data Analytics Capstone Project**\n- **Skills**: End-to-End Analysis, Business Insights, Presentation\n- **Tools**: Full Analytics Toolkit Integration\n- **Project Components**:\n  1. 📥 **Data Acquisition** - Multiple source integration\n  2. 🧹 **Data Preparation** - Cleaning and transformation\n  3. 🔍 **Exploratory Analysis** - Pattern discovery and insight generation\n  4. 📊 **Visualization Development** - Dashboard and report creation\n  5. 🎤 **Business Presentation** - Stakeholder communication\n\n## 🛠️ **Technical Skills Demonstrated**\n\n### **Programming \u0026 Data Analysis**\n![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge\u0026logo=python\u0026logoColor=white)\n![SQL](https://img.shields.io/badge/SQL-4479A1?style=for-the-badge\u0026logo=postgresql\u0026logoColor=white)\n![Jupyter](https://img.shields.io/badge/Jupyter-F37626?style=for-the-badge\u0026logo=jupyter\u0026logoColor=white)\n![Pandas](https://img.shields.io/badge/Pandas-150458?style=for-the-badge\u0026logo=pandas\u0026logoColor=white)\n![NumPy](https://img.shields.io/badge/NumPy-013243?style=for-the-badge\u0026logo=numpy\u0026logoColor=white)\n\n### **Statistical Analysis \u0026 Modeling**\n![Statistics](https://img.shields.io/badge/Statistics-FF6B6B?style=for-the-badge\u0026logo=gnu\u0026logoColor=white)\n![Hypothesis Testing](https://img.shields.io/badge/Hypothesis%20Testing-3498DB?style=for-the-badge)\n![Regression Analysis](https://img.shields.io/badge/Regression%20Analysis-27AE60?style=for-the-badge)\n![A/B Testing](https://img.shields.io/badge/A/B%20Testing-9B59B6?style=for-the-badge)\n![Data Modeling](https://img.shields.io/badge/Data%20Modeling-00B050?style=for-the-badge)\n\n### **Data Visualization \u0026 BI**\n![Tableau](https://img.shields.io/badge/Tableau-E97627?style=for-the-badge\u0026logo=tableau\u0026logoColor=white)\n![Excel](https://img.shields.io/badge/Excel-217346?style=for-the-badge\u0026logo=microsoft-excel\u0026logoColor=white)\n![Data Visualization](https://img.shields.io/badge/Data%20Visualization-FF6384?style=for-the-badge)\n![Business Intelligence](https://img.shields.io/badge/Business%20Intelligence-FF9E0F?style=for-the-badge)\n![Dashboard Design](https://img.shields.io/badge/Dashboard%20Design-8E44AD?style=for-the-badge)\n\n### **Data Management \u0026 Tools**\n![Git](https://img.shields.io/badge/Git-F05032?style=for-the-badge\u0026logo=git\u0026logoColor=white)\n![GitHub](https://img.shields.io/badge/GitHub-100000?style=for-the-badge\u0026logo=github\u0026logoColor=white)\n![Database Management](https://img.shields.io/badge/Database%20Management-336791?style=for-the-badge)\n![Data Governance](https://img.shields.io/badge/Data%20Governance-2C3E50?style=for-the-badge)\n![PostgreSQL](https://img.shields.io/badge/PostgreSQL-4169E1?style=for-the-badge\u0026logo=postgresql\u0026logoColor=white)\n\n### **Python Data Science Stack**\n![Matplotlib](https://img.shields.io/badge/Matplotlib-11557C?style=for-the-badge\u0026logo=python\u0026logoColor=white)\n![Seaborn](https://img.shields.io/badge/Seaborn-5A9BD5?style=for-the-badge\u0026logo=python\u0026logoColor=white)\n![Machine Learning](https://img.shields.io/badge/Machine%20Learning-01D277?style=for-the-badge)\n![Data Wrangling](https://img.shields.io/badge/Data%20Wrangling-FF6B35?style=for-the-badge)\n![ETL Processes](https://img.shields.io/badge/ETL%20Processes-4A90E2?style=for-the-badge)\n\n### **Database \u0026 Storage Technologies**\n![MySQL](https://img.shields.io/badge/MySQL-4479A1?style=for-the-badge\u0026logo=mysql\u0026logoColor=white)\n![SQLite](https://img.shields.io/badge/SQLite-003B57?style=for-the-badge\u0026logo=sqlite\u0026logoColor=white)\n![Google Sheets](https://img.shields.io/badge/Google%20Sheets-34A853?style=for-the-badge\u0026logo=google-sheets\u0026logoColor=white)\n![Data Storage](https://img.shields.io/badge/Data%20Storage-FF9900?style=for-the-badge)\n![Big Data](https://img.shields.io/badge/Big%20Data-F39C12?style=for-the-badge)\n\n## 📁 Repository Structure\n\n```\n📂 Meta-Data-Analyst-Portfolio/\n│\n├── 📂 Data_Analysis_with_Spreadsheets_and_SQL/\n│   ├── 📊 Tableau_Dashboards/          # Interactive business dashboards\n│   ├── 📈 Sales_Analysis/              # Profitability and performance\n│   ├── 🔍 Data_Exploration/            # Pattern discovery\n│   └── 📋 SQL_Queries/                 # Database analysis scripts\n│\n├── 📂 Python_Data_Analytics/\n│   ├── 📓 Jupyter_Notebooks/           # Complete analysis workflows\n│   │   ├── 📊 Exploratory_Data_Analysis/\n│   │   ├── 📈 Data_Visualization/\n│   │   ├️ 🤖 Machine_Learning/\n│   │   └️ 🔍 Statistical_Analysis/\n│   └️ 🐍 Python_Scripts/               # Modular analysis scripts\n│\n├── 📂 Statistics_Foundations/\n│   ├️ 📊 Capstone_Modules/\n│   │   ├️ 🎯 1_Getting_to_Know_the_Data/\n│   │   ├️ 📈 2_Understanding_Data_Samples/\n│   │   ├️ 🔬 3_Testing_Your_Hypothesis/\n│   │   └️ 🏗️ 4_Data_Modeling/\n│   └️ 📋 Statistical_Analysis/         # Hypothesis testing and modeling\n│\n├── 📂 Data_Management/\n│   ├️ 🔒 Security_Compliance/          # Data governance frameworks\n│   ├️ 📦 Storage_Solutions/            # Database and file management\n│   └️ 🏗️ Infrastructure/              # System architecture\n│\n├── 📂 Tableau_Visualizations/\n│   ├️ 📈 Business_Dashboards/          # Interactive reports\n│   ├️ 📊 Time_Series_Analysis/         # Trend visualization\n│   └️ 👥 Cluster_Analysis/             # Segmentation dashboards\n│\n├️ 📂 Excel_Analytics/\n│   ├️ 📊 Advanced_Models/              # Complex data analysis\n│   ├️ 🔬 A_B_Testing/                  # Experimental analysis\n│   └️ 📈 Business_Intelligence/        # KPI tracking\n│\n├── 📂 Sample_Data/\n│   ├️ 📊 Cleaned_Datasets/            # Analysis-ready data\n│   └️ 📈 Raw_Data/                    # Original data sources\n│\n├── 📜 LICENSE\n├️ 📜 requirements.txt\n└️ 📜 README.md\n```\n\n## 🚀 How to Use This Portfolio\n\n### For Recruiters \u0026 Hiring Managers:\n1. **Review Capstone Projects**: Start with Statistics Foundations modules for complete workflow examples\n2. **Examine Technical Implementation**: Check Python notebooks and SQL scripts for coding proficiency\n3. **View Dashboard Outputs**: Explore Tableau workbooks and Excel models for visualization skills\n4. **Assess Analytical Thinking**: Review hypothesis testing and statistical analysis projects\n\n### For Fellow Data Analysts:\n1. **Follow Learning Path**: Study modules in sequence from foundations to advanced topics\n2. **Replicate Analyses**: Use provided datasets and scripts for hands-on practice\n3. **Reference Implementations**: Use code as templates for similar analysis projects\n\n### For Technical Review:\n```bash\n# Clone the repository\ngit clone https://github.com/Willie-Conway/Meta-Data-Analyst.git\n\n# Navigate to specific analysis projects\ncd \"Meta-Data-Analyst/Statistics Foundations/Capstones/Modules/4 - Data Modeling\"\n\n# Open Jupyter notebooks\njupyter notebook \"Data Modeling Analysis.ipynb\"\n\n# Explore Tableau dashboards\n# Open .twb files in Tableau Desktop or Tableau Reader\n```\n\n## 📈 Key Achievements\n\n✅ **Complete 8-Course Certificate** from Meta  \n✅ **50+ Hands-on Projects** covering real business scenarios  \n✅ **Advanced Statistical Analysis** including hypothesis testing and modeling  \n✅ **Interactive Tableau Dashboards** with professional design  \n✅ **End-to-End Python Analytics** from data ingestion to visualization  \n✅ **Comprehensive Data Management** including security and governance  \n\n## 🏆 Certifications\n\nThis portfolio demonstrates mastery in:\n- Meta Data Analyst Professional Certificate\n- Advanced Statistical Analysis and Modeling\n- Business Intelligence with Tableau\n- Python for Data Analytics\n- Data Management and Governance\n\n## 📞 Contact \u0026 Professional Links\n\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/willieconway/)\n[![GitHub](https://img.shields.io/badge/GitHub-100000?style=for-the-badge\u0026logo=github\u0026logoColor=white)](https://github.com/Willie-Conway)\n[![Email](https://img.shields.io/badge/Email-D14836?style=for-the-badge\u0026logo=gmail\u0026logoColor=white)](mailto:hire.willie.conway@gmail.com)\n\n**Email**: [hire.willie.conway@gmail.com](mailto:hire.willie.conway@gmail.com)  \n**LinkedIn**: [Willie Conway](https://www.linkedin.com/in/willieconway/)  \n**GitHub**: [Willie-Conway](https://github.com/Willie-Conway)\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 🙏🏿 Acknowledgments\n\n- Meta for the comprehensive data analytics curriculum\n- Coursera for providing the learning platform\n- All instructors and mentors throughout the program\n\n---\n\n⭐ **If you find this portfolio valuable, please consider giving it a star!** ⭐\n\n*Last updated: December 2024 | Portfolio Version: 2.0 | Certificate Completion: November 2024*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwillie-conway%2Fmeta-data-analyst-portfolio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwillie-conway%2Fmeta-data-analyst-portfolio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwillie-conway%2Fmeta-data-analyst-portfolio/lists"}